Assessment of the Multiple Sclerosis Severity Score and the Age-Related Multiple Sclerosis Severity Score as health indicators in a population-based cohort.
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| Title: | Assessment of the Multiple Sclerosis Severity Score and the Age-Related Multiple Sclerosis Severity Score as health indicators in a population-based cohort. |
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| Authors: | Bau, Laura (AUTHOR), Matas, Elisabet (AUTHOR), Romero-Pinel, Lucía (AUTHOR), León, Isabel (AUTHOR), Muñoz-Vendrell, Albert (AUTHOR), Arroyo-Pereiro, Pablo (AUTHOR), Martínez-Yélamos, Antonio (AUTHOR), Martínez-Yélamos, Sergio (AUTHOR) |
| Source: | Neurological Sciences. Jan2025, Vol. 46 Issue 1, p335-342. 8p. |
| Subjects: | Health outcome assessment, Medical sciences, Disease duration, Multiple sclerosis, Age of onset |
| Abstract: | Background: People with multiple sclerosis (MS) present varying degrees of disability throughout their disease course. The Multiple Sclerosis Severity Score (MSSS) and the Age-Related Multiple Sclerosis Severity Score (ARMSSS) adjust the Expanded Disability Status Scale (EDSS) according to disease duration and age, respectively. These measures could be useful for quantifying MS severity and as health outcome indicators for benchmarking in population-based settings. The aim of this study was to describe the severity of MS in our health district using the MSSS and ARMSSS and to assess their consistency over time. Methods: This population-based study included patients from our health district who were diagnosed with MS according to the 2010 McDonald criteria, had a disease duration of at least one year and were followed up in our MS unit. Sex, age at onset, disease duration, clinical course, age and irreversible EDSS at the last follow-up visit were collected, and the MSSS and ARMSSS were calculated at two time points: 2017 and 2020. Results: One hundred seventy-seven patients were included in 2017, and 208 in 2020. The prevalence of MS was 90 and 104 per 100,000 inhabitants, respectively. The median MSSS was 1.77 (IQR 0.76–4.28) in 2017 and 2.03 (IQR 0.82–4.36) in 2020. The median ARMSSS was 2.90 (IQR 1.47–5.72) in 2017 and 2.93 (IQR 1.51–5.56) in 2020. No significant differences were found. Conclusions: According to the MSSS and ARMSSS, the severity of MS in our area is mild, and these instruments are consistent. These measures could be reliable health outcome measures. [ABSTRACT FROM AUTHOR] |
| Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 182076716 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessment of the Multiple Sclerosis Severity Score and the Age-Related Multiple Sclerosis Severity Score as health indicators in a population-based cohort. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bau%2C+Laura%22">Bau, Laura</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Matas%2C+Elisabet%22">Matas, Elisabet</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Romero-Pinel%2C+Lucía%22">Romero-Pinel, Lucía</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22León%2C+Isabel%22">León, Isabel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Muñoz-Vendrell%2C+Albert%22">Muñoz-Vendrell, Albert</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arroyo-Pereiro%2C+Pablo%22">Arroyo-Pereiro, Pablo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martínez-Yélamos%2C+Antonio%22">Martínez-Yélamos, Antonio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martínez-Yélamos%2C+Sergio%22">Martínez-Yélamos, Sergio</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Jan2025, Vol. 46 Issue 1, p335-342. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Health+outcome+assessment%22">Health outcome assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+sciences%22">Medical sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+duration%22">Disease duration</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+sclerosis%22">Multiple sclerosis</searchLink><br /><searchLink fieldCode="DE" term="%22Age+of+onset%22">Age of onset</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: People with multiple sclerosis (MS) present varying degrees of disability throughout their disease course. The Multiple Sclerosis Severity Score (MSSS) and the Age-Related Multiple Sclerosis Severity Score (ARMSSS) adjust the Expanded Disability Status Scale (EDSS) according to disease duration and age, respectively. These measures could be useful for quantifying MS severity and as health outcome indicators for benchmarking in population-based settings. The aim of this study was to describe the severity of MS in our health district using the MSSS and ARMSSS and to assess their consistency over time. Methods: This population-based study included patients from our health district who were diagnosed with MS according to the 2010 McDonald criteria, had a disease duration of at least one year and were followed up in our MS unit. Sex, age at onset, disease duration, clinical course, age and irreversible EDSS at the last follow-up visit were collected, and the MSSS and ARMSSS were calculated at two time points: 2017 and 2020. Results: One hundred seventy-seven patients were included in 2017, and 208 in 2020. The prevalence of MS was 90 and 104 per 100,000 inhabitants, respectively. The median MSSS was 1.77 (IQR 0.76–4.28) in 2017 and 2.03 (IQR 0.82–4.36) in 2020. The median ARMSSS was 2.90 (IQR 1.47–5.72) in 2017 and 2.93 (IQR 1.51–5.56) in 2020. No significant differences were found. Conclusions: According to the MSSS and ARMSSS, the severity of MS in our area is mild, and these instruments are consistent. These measures could be reliable health outcome measures. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10072-024-07767-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 335 Subjects: – SubjectFull: Health outcome assessment Type: general – SubjectFull: Medical sciences Type: general – SubjectFull: Disease duration Type: general – SubjectFull: Multiple sclerosis Type: general – SubjectFull: Age of onset Type: general Titles: – TitleFull: Assessment of the Multiple Sclerosis Severity Score and the Age-Related Multiple Sclerosis Severity Score as health indicators in a population-based cohort. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bau, Laura – PersonEntity: Name: NameFull: Matas, Elisabet – PersonEntity: Name: NameFull: Romero-Pinel, Lucía – PersonEntity: Name: NameFull: León, Isabel – PersonEntity: Name: NameFull: Muñoz-Vendrell, Albert – PersonEntity: Name: NameFull: Arroyo-Pereiro, Pablo – PersonEntity: Name: NameFull: Martínez-Yélamos, Antonio – PersonEntity: Name: NameFull: Martínez-Yélamos, Sergio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 15901874 Numbering: – Type: volume Value: 46 – Type: issue Value: 1 Titles: – TitleFull: Neurological Sciences Type: main |
| ResultId | 1 |
